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dc.contributor.authorHu, Chao
dc.contributor.authorWang, Pingfeng
dc.contributor.authorYoun, Byeng D.
dc.contributor.authorLee, Wook-Ryun
dc.contributor.authorYoon, Joung Taek
dc.date.accessioned2012-10-25T20:31:53Z
dc.date.available2012-10-25T20:31:53Z
dc.date.issued2012-10
dc.identifier.citationHu, Chao; Wang, Pingfeng; Youn, Byeng D.; Lee, Wook-Ryun; Yoon, Joung Taek. 2012. Copula-based statistical health grade system against mechanical faults of power transformers. IEEE Transactions on Power Delivery, v.27 no.4 pp.1809-1819en_US
dc.identifier.issn0885-8977
dc.identifier.otherWOS:000309200900013
dc.identifier.urihttp://dx.doi.org/10.1109/TPWRD.2012.2202406
dc.identifier.urihttp://hdl.handle.net/10057/5338
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractA health grade system against mechanical faults of power transformers has been little investigated compared to those for chemical and electrical faults. This paper thus presents a statistical health grade system against mechanical faults in power transformers used in nuclear powerplant sites where the mechanical joints and/or parts are the ones used for constraining transformer cores. Two health metrics-RMS and root mean square deviation of spectral responses at harmonic frequencies-are first defined using vibration signals acquired via insite sensors on 54 power transformers in several nuclear powerplants in 16 months. We then investigate a novel multivariate statistical model, namely copula, to statistically model the populated data of the health metrics. The preliminary study shows that the proposed health metrics and statistical health grade system are feasible to monitor and predict the health condition of the mechanical faults in the power transformers.en_US
dc.language.isoen_USen_US
dc.publisherIEEE-INST Electrical Electronics Engineers Incen_US
dc.relation.ispartofseriesIEEE Transactions on Power Delivery;v.27 no.4
dc.subjectCopulaen_US
dc.subjecthealth grade systemen_US
dc.subjecthealth monitoringen_US
dc.subjectpower transformeren_US
dc.subjectvibrationen_US
dc.titleCopula-based statistical health grade system against mechanical faults of power transformersen_US
dc.typeArticleen_US


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